TY - JOUR
T1 - New echinocandin susceptibility patterns for nosocomial Candida albicans in Bogotá, Colombia, in ten tertiary care centres
T2 - An observational study
AU - Rodríguez-Leguizamón, Giovanni
AU - Fiori, Alessandro
AU - Lagrou, Katrien
AU - Gaona, María Antonia
AU - Ibáñez, Milciades
AU - Patarroyo, Manuel Alfonso
AU - Van Dijck, Patrick
AU - Gómez-López, Arley
N1 - Funding Information:
This work was financed by the ERASMUS MUNDUS ERACOL programme, by the KU Leuven Research Fund, the Fund for Scientific Research Flanders (FWO WO.026.11 N and G.0804.11) and by funding from the Universidad del Rosario. We greatly acknowledge technical–scientific support from the Fundación Instituto de Inmunología de Colombia (FIDIC) and Ana Kolecka from CBS-KNAW Fungal Biodiversity Centre, Yeast and Basidiomycete Research, Utrecht, The Netherlands. We would like to thank Ilse Palmans and Deborah Seys for their technical support, as well as Beatriz Gómez and Catalina de Bedout from the Corporación de Investigaciones Biológicas (CIB) in Medellín for facilitating CLSI M27-S4 standardisation and application. We would like to thank Jason Garry for translating the manuscript.
Publisher Copyright:
© 2015 Rodríguez-Leguizamón et al.; licensee BioMed Central.
PY - 2015/12/12
Y1 - 2015/12/12
N2 - Background: Candida albicans remains as the first cause of nosocomial fungal infections in hospitals worldwide and its susceptibility pattern should be better described in our tertiary care hospitals. Methods: This study aimed at identifying the caspofungin susceptibility pattern regarding nosocomial Candida albicans infection in ten tertiary care hospitals using the methodology proposed by CLSI M27-A3 and CLSI M27-S4, and its association with risk factors and clinical outcome. The approach involved descriptive research concerning the diagnosis of nosocomial infection during a 7-month period in 10 hospitals in Bogotá, Colombia. Associations were established using exact non-parametric statistical tests having a high statistical power (>95%), suitable for small samples. The exact Mann Whitney test or Kruskall-Wallis non-parametric ANOVA tests were used for distributions which were different to normal or ordinal variables when comparing three or more groups. Multivariate analysis involved using binomial, multinomial and ordinal exact logistical regression models (hierarchical) and discrimination power was evaluated using area under the ROC curve. Results: 101 nosocomial infections were found in 82,967 discharges, for a Candida spp. infection rate of 12.2 per 10,000 discharges, 30.7% caused by C. albicans, 22.8% by C. tropicalis, 20.8% by C. parapsilosis, 19.8% by other Candida, 3% by C. krusei and 3% by C. glabrata. Statistically significant associations between mortality rate and the absence of parenteral nutrition were found in multivariate analysis (OR = 39.746: 1.794-880.593 95% CI: p = 0.020). The model's predictive power was 83.9%, having an 85.9% significant prediction area (69.5%-100 95% CI; p = 0.001). Conclusions: Significant differences were found regarding susceptibility results when comparing CLSI M27-A3 to CLSI M27-S4 when shifting clinical break-point values. However, one nosocomial strain was consistent in having reduced susceptibility when using both guidelines without having been directly exposed to echinocandins beforehand and no mutations were found in the FKS1 gene for hot spot 1 and/or hot spot 2 regions, thereby highlighting selective pressure regarding widespread antifungal use in tertiary healthcare centres. Nutritional conditions and low family income were seen to have a negative effect on survival rates.
AB - Background: Candida albicans remains as the first cause of nosocomial fungal infections in hospitals worldwide and its susceptibility pattern should be better described in our tertiary care hospitals. Methods: This study aimed at identifying the caspofungin susceptibility pattern regarding nosocomial Candida albicans infection in ten tertiary care hospitals using the methodology proposed by CLSI M27-A3 and CLSI M27-S4, and its association with risk factors and clinical outcome. The approach involved descriptive research concerning the diagnosis of nosocomial infection during a 7-month period in 10 hospitals in Bogotá, Colombia. Associations were established using exact non-parametric statistical tests having a high statistical power (>95%), suitable for small samples. The exact Mann Whitney test or Kruskall-Wallis non-parametric ANOVA tests were used for distributions which were different to normal or ordinal variables when comparing three or more groups. Multivariate analysis involved using binomial, multinomial and ordinal exact logistical regression models (hierarchical) and discrimination power was evaluated using area under the ROC curve. Results: 101 nosocomial infections were found in 82,967 discharges, for a Candida spp. infection rate of 12.2 per 10,000 discharges, 30.7% caused by C. albicans, 22.8% by C. tropicalis, 20.8% by C. parapsilosis, 19.8% by other Candida, 3% by C. krusei and 3% by C. glabrata. Statistically significant associations between mortality rate and the absence of parenteral nutrition were found in multivariate analysis (OR = 39.746: 1.794-880.593 95% CI: p = 0.020). The model's predictive power was 83.9%, having an 85.9% significant prediction area (69.5%-100 95% CI; p = 0.001). Conclusions: Significant differences were found regarding susceptibility results when comparing CLSI M27-A3 to CLSI M27-S4 when shifting clinical break-point values. However, one nosocomial strain was consistent in having reduced susceptibility when using both guidelines without having been directly exposed to echinocandins beforehand and no mutations were found in the FKS1 gene for hot spot 1 and/or hot spot 2 regions, thereby highlighting selective pressure regarding widespread antifungal use in tertiary healthcare centres. Nutritional conditions and low family income were seen to have a negative effect on survival rates.
UR - http://www.scopus.com/inward/record.url?scp=84928713970&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84928713970&partnerID=8YFLogxK
U2 - 10.1186/s12879-015-0840-0
DO - 10.1186/s12879-015-0840-0
M3 - Research Article
C2 - 25888031
AN - SCOPUS:84928713970
SN - 1471-2334
VL - 15
JO - BMC Infectious Diseases
JF - BMC Infectious Diseases
IS - 1
M1 - 108
ER -